



'''simple docstring'''






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowerCAmelCase:   Any					=		logging.get_logger(__name__)

lowerCAmelCase:   Union[str, Any]					=		{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

lowerCAmelCase:   Dict					=		{
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

lowerCAmelCase:   Optional[int]					=		{
    "squeezebert/squeezebert-uncased": 5_1_2,
    "squeezebert/squeezebert-mnli": 5_1_2,
    "squeezebert/squeezebert-mnli-headless": 5_1_2,
}


lowerCAmelCase:   Tuple					=		{
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}

class 				a__(   snake_case__      ):
    lowercase__					=       VOCAB_FILES_NAMES
    lowercase__					=       PRETRAINED_VOCAB_FILES_MAP
    lowercase__					=       PRETRAINED_INIT_CONFIGURATION
    lowercase__					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase__					=       SqueezeBertTokenizer







    def __init__( self					:    int		,     __snake_case					:    Union[str, Any]=None		,     __snake_case					:    str=None		,     __snake_case					:    List[Any]=True		,     __snake_case					:    Any="[UNK]"		,     __snake_case					:    Tuple="[SEP]"		,     __snake_case					:    Optional[Any]="[PAD]"		,     __snake_case					:    Tuple="[CLS]"		,     __snake_case					:    Dict="[MASK]"		,     __snake_case					:    str=True		,     __snake_case					:    Optional[int]=None		,     **__snake_case					:    Optional[int]		,     ):
      super().__init__(
          __snake_case		,     tokenizer_file=__snake_case		,     do_lower_case=__snake_case		,     unk_token=__snake_case		,     sep_token=__snake_case		,     pad_token=__snake_case		,     cls_token=__snake_case		,     mask_token=__snake_case		,     tokenize_chinese_chars=__snake_case		,     strip_accents=__snake_case		,     **__snake_case		,     )

      a		:   Optional[Any]	  =	json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
      if (
          normalizer_state.get('lowercase'		,     __snake_case      ) != do_lower_case
          or normalizer_state.get('strip_accents'		,     __snake_case      ) != strip_accents
          or normalizer_state.get('handle_chinese_chars'		,     __snake_case      ) != tokenize_chinese_chars
      ):
        a		:   Union[str, Any]	  =	getattr(__snake_case		,     normalizer_state.pop('type'      )      )
        a		:   Tuple	  =	do_lower_case
        a		:   Tuple	  =	strip_accents
        a		:   int	  =	tokenize_chinese_chars
        a		:   Tuple	  =	normalizer_class(**__snake_case      )

      a		:   Optional[int]	  =	do_lower_case







    def      lowercase_			( self					:    int		,     __snake_case					:    Dict		,     __snake_case					:    str=None      ):
      a		:   Tuple	  =	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
        output += token_ids_a + [self.sep_token_id]

      return output







    def      lowercase_			( self					:    List[Any]		,     __snake_case					:    List[str]		,     __snake_case					:    Union[str, Any] = None      ):
      a		:   str	  =	[self.sep_token_id]
      a		:   Union[str, Any]	  =	[self.cls_token_id]
      if token_ids_a is None:
        return len(cls + token_ids_a + sep      ) * [0]
      return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]







    def      lowercase_			( self					:    List[Any]		,     __snake_case					:    Optional[Any]		,     __snake_case					:    List[Any] = None      ):
      a		:   Union[str, Any]	  =	self._tokenizer.model.save(__snake_case		,     name=__snake_case      )
      return tuple(__snake_case      )



import requests

_SCREAMING_SNAKE_CASE     :					Optional[int]      =       ""  # <-- Put your OpenWeatherMap appid here!
_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       "https://api.openweathermap.org/data/2.5/"
def      UpperCAmelCase__		(UpperCamelCase_ = "Chicago"				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''weather'''				,params=locals()							).json()
def      UpperCAmelCase__		(UpperCamelCase_ = "Kolkata, India"				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''forecast'''				,params=locals()							).json()
def      UpperCAmelCase__		(UpperCamelCase_ = 55.68				,UpperCamelCase_ = 12.57				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''onecall'''				,params=locals()							).json()


if __name__ == "__main__":
 from pprint import pprint

 while True:
  _SCREAMING_SNAKE_CASE     :					Any      =       input("Enter a location:").strip()
  if location:
   pprint(current_weather(location))
  else:
   break




